Not at all. AI is primarily a tool for domestic surveillance and war. AI cannot produce surplus value to be extracted for profit. They aren’t trying to replace workers with AI. At least not in the long term.
Maybe it’s a fantasy but if they could replace humans with machines that never bargained and went on holiday, they would in a heartbeat. And that’s what they want to do. Maybe they will fail, maybe the technology will develop. It can do many things today that it couldn’t so a few years ago. It’s already solved more difficult mathematical proofs than any human alive today for example.
Yeah, that’s not true. The math proofs it has solved are not “more difficult than any solved by a living person”. Many of the proofs AI has solved are corner case conditions that are not being actively worked on by mathematicians. In a trivial example. Image a problem like:
x = n + 25
AI says, hey, let’s assume n=3.
AI solved the proof that 3 + 25 = 28.
Then we get an article posted about how AI solved the impossible problem of n + 25
Now, it can be helpful to have these less general proofs solved. It can help mathematicians in creating a more general proof (what they are usually focused on).
But, as far as I’m aware, these are most of the contributions of AI so far in the field of mathematics. You’re falling for the hype around it. It’s mostly filling in gaps for corner cases that are not actively being worked on.
Which makes sense. Because it’s just a text generation algorithm that predicts the most likely characters. It’s using training data for the n = 3 case that it learned from another already solved problem and then injecting it into the unsolved problem. Sometimes is spits out something that makes sense, a human being has to verify it, and then a corner case for mathematical proof is “solved”.
It’s not capable of thinking or rationalizing to anything new. It is filling in gaps in a field of research that is not primarily focused on “gap filling”.
It’s why it’s “having success” in Math but not Physics. Mathematicians focus on general proofs that apply under all conditions. So, the field inevitably has a lot of problems that could be solved by a lot of brute force for specific conditions.
In Physics, scientist are constantly trying to “fill gaps”. They work with real world measurements and observations. Any new “gap” is constantly being tested. AI has no gaps to fill with its brute force way of “thinking”. And it’s completely incapable of coming up with theories or hypothesis on a level a human does.
This is why it’s not solving ground breaking mathematics proofs and why it is mostly useless in replacing humans in the scientific process. Because it isn’t actually thinking.
Sorry, rant. But this is something that bothers me and you hit a nerve.
Not at all. AI is primarily a tool for domestic surveillance and war. AI cannot produce surplus value to be extracted for profit. They aren’t trying to replace workers with AI. At least not in the long term.
Maybe it’s a fantasy but if they could replace humans with machines that never bargained and went on holiday, they would in a heartbeat. And that’s what they want to do. Maybe they will fail, maybe the technology will develop. It can do many things today that it couldn’t so a few years ago. It’s already solved more difficult mathematical proofs than any human alive today for example.
Yeah, that’s not true. The math proofs it has solved are not “more difficult than any solved by a living person”. Many of the proofs AI has solved are corner case conditions that are not being actively worked on by mathematicians. In a trivial example. Image a problem like:
x = n + 25AI says, hey, let’s assume n=3.
AI solved the proof that
3 + 25 = 28.Then we get an article posted about how AI solved the impossible problem of
n + 25Now, it can be helpful to have these less general proofs solved. It can help mathematicians in creating a more general proof (what they are usually focused on).
But, as far as I’m aware, these are most of the contributions of AI so far in the field of mathematics. You’re falling for the hype around it. It’s mostly filling in gaps for corner cases that are not actively being worked on.
Which makes sense. Because it’s just a text generation algorithm that predicts the most likely characters. It’s using training data for the
n = 3case that it learned from another already solved problem and then injecting it into the unsolved problem. Sometimes is spits out something that makes sense, a human being has to verify it, and then a corner case for mathematical proof is “solved”.It’s not capable of thinking or rationalizing to anything new. It is filling in gaps in a field of research that is not primarily focused on “gap filling”.
It’s why it’s “having success” in Math but not Physics. Mathematicians focus on general proofs that apply under all conditions. So, the field inevitably has a lot of problems that could be solved by a lot of brute force for specific conditions.
In Physics, scientist are constantly trying to “fill gaps”. They work with real world measurements and observations. Any new “gap” is constantly being tested. AI has no gaps to fill with its brute force way of “thinking”. And it’s completely incapable of coming up with theories or hypothesis on a level a human does.
This is why it’s not solving ground breaking mathematics proofs and why it is mostly useless in replacing humans in the scientific process. Because it isn’t actually thinking.
Sorry, rant. But this is something that bothers me and you hit a nerve.